Jun Yin - RankMe

20 papers A* 4A 2Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PS CoRR Ruochen Liu, Zhiyuan Wen, Hao Yan, Jun Yin, Senzhang Wang, Jiannong Cao
2026	J	`jnl`	Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases. CoRR Jun Yin, Peng Huo, Bangguo Zhu, Hao Yan, Senzhang Wang, Shirui Pan, Chengqi Zhang
2026	J	`jnl`	SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation. CoRR Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang
2025	J	`jnl`	Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang
2025	A	`conf`	MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. WSDM Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang
2025	A*	`conf`	Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. WWW Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2025	—	`conf`	When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. KDD (2) Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang
2024	J	`jnl`	Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2024	J	`jnl`	When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang
2023	A*	`conf`	A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
2023	A	`conf`	Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang
2023	—	`conf`	Hierarchical Graph Contrastive Learning. ECML/PKDD (2) Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
2023	A*	`conf`	Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
2023	A*	`conf`	V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
2021	J	`jnl`	Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2020	J	`jnl`	Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2019	—	`conf`	Prediction and Analysis of Rumour's Impact on Social Media. BESC Jun Yin, Shaowu Liu, Qian Li, Guandong Xu
2018	—	`conf`	Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD (2) Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang
2018	—	`conf`	Social Spammer Detection: A Multi-Relational Embedding Approach. PAKDD (1) Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu
2016	—	`conf`	Parallelizing K-Means-Based Clustering on Spark. CBD Bowen Wang, Jun Yin, Qi Hua, Zhiang Wu, Jie Cao